code: def execute(cls, ctx, op: "DataFrameDropNA"):
      try:
          pd.set_option("mode.use_inf_as_na", op.use_inf_as_na)
  
          in_data = ctx[op.inputs[0].key]
          if op.drop_directly:
              if isinstance(in_data, pd.DataFrame):
                  result = in_data.dropna(
                      axis=op.axis,
                      how=op.how,
                      thresh=op.thresh,
                      subset=op.subset,
                  )
              elif isinstance(in_data, pd.Series):
                  result = in_data.dropna(axis=op.axis, how=op.how)
              else:
                  result = in_data.dropna(how=op.how)
              ctx[op.outputs[0].key] = result
              return
  
          in_counts = ctx[op.inputs[1].key]
          if op.how == "all":
              in_counts = in_counts[in_counts > 0]
          else:
              if op.thresh is None or op.thresh is no_default:
                  thresh = op.subset_size
              else:  # pragma: no cover
                  thresh = op.thresh
              in_counts = in_counts[in_counts >= thresh]
  
          ctx[op.outputs[0].key] = in_data.reindex(in_counts.index)
      finally:
          pd.reset_option("mode.use_inf_as_na")
  
imports: import itertools
  import numpy
  import pandas
  from ...None import opcodes
  from ...core import OutputType, recursive_tile
  from ...config import options
  from ...serialization.serializables import AnyField, BoolField, StringField, Int32Field
  from ...utils import no_default, pd_release_version
  from ..align import align_dataframe_series
  from ..operands import DataFrameOperand, DataFrameOperandMixin
  from ..utils import parse_index, validate_axis
label_desc: Use image node_id 12 for calling the DataFrameDropNA obj's underlying member method code with example usage: obj.execute(cls, ctx, op) without return types